High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs
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The multicore revolution and the ever-increasing complexity of computing systems is dramatically changing system design, analysis and programming of computing platforms. Future architectures will feature hundreds to thousands of simple processors and on-ch ...
We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general- ...
Hardware designers and engineers typically need to explore a multi-parametric design space in order to find the best configuration for their designs using simulations that can take weeks to months to complete. For example, designers of special purpose chips ...
Nowadays processing systems are asked to support increasing complex and demanding high-performance applications, especially in the signal processing and video processing domains. The design of these systems are becoming extremely challenging because of sev ...
Energy consumption is today one of the major topics that the HPC community tries to tackle. In this paper, the authors present a thought experiment aiming at building a node of a supercomputer based on a GPU (Nvidia GTX280). The paper concentrate on BLAS2 ...
Modern computing has adopted the floating point type as a default way to describe computations with real numbers. Thanks to dedicated hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...
Modern programming languages have adopted the floating point type as a way to describe computations with real numbers. Thanks to the hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...
We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general- ...
Nowadays industrial monoprocessor and multipro- cessor systems make use of hardware floating-point units (FPUs) to provide software acceleration and better precision due to the necessity to compute complex software applications. This paper presents the des ...
We describe a hybrid Lyapunov solver based on the matrix sign function, where the intensive parts of the computation are accelerated using a graphics processor (GPU) while executing the remaining operations on a general-purpose multi-core processor (CPU). ...